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    LoyalLoyalJusticeJustice
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    Home/Original/inverse
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    Inverse View

    It is not the case that Statistical association between SNPs and conditions does not establish causal relevance, as confounding population structure can generate spurious correlations.

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    Reasons For

    1 perspective
    Reason for
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    • 1.Modern GWAS uses ancestry-matched controls and population stratification corrections, substantially reducing spurious associations from confounding.
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    • 2.Functional validation, replication across diverse populations, and mechanistic evidence support causal relevance for many SNP-disease associations.
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    • 3.The claim conflates 'association does not prove causation' with 'association is uninformative,' but associations guide causal investigation productively.
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    Reasons Against

    1 perspective
    Reason against
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    • 1.Population stratification creates allele frequency differences unrelated to disease, producing associations that vanish in ancestry-matched subgroups.
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    • 2.Mendelian randomization and other causal inference methods show many SNP-disease associations disappear when confounding is properly controlled.
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    • 3.Statistical association alone cannot distinguish direct causation from linkage disequilibrium with unmeasured causal variants.
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